DebolinaPaul/EWDP: Entropy Weighted Dirichlet Process Means (EWDPmeans)
This package is a clustering technique that can provide partitioning of data in an unsupervised way. The additional advantage of using this method is that the number of clusters are not required to known a-priori. This method is useful in clustering high-dimensional data since the entropy regularizer on feature weights provides a method of feature selection.
Getting started
Browse package contents
Package details |
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| Author | Debolina Paul, Swagatam Das |
| Maintainer | Debolina Paul <debolinap8@gmail.com> |
| License | MIT license |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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